吊水壶尾矿坝渗流特性三维有限元分析

本文结合工程实例,以吊水壶尾矿坝为背景,建立现状尾矿坝三维模型,利用三维有限元法反演分析现状尾矿坝的渗流场,将计算结果与勘察的浸润面对比分析,验证模型的可靠性和合理性。基于此模型建立加高后的尾矿坝三维模型,计算正常蓄水位和设计洪水位两种工况下的渗流场,分析坝体浸润面埋深、滩长、渗流坡降等,结果表明,不设排渗措施时,尾矿坝干滩长度、浸润面埋深均能满足规范要求,而且尖流性态良好,满足渗透稳定。提出该尾矿坎可通过加高工程来进行渗流控制的建议。     

一种异形结构传爆药起爆威力实验研究

旨在研究一种新型高能传爆药装药结构,根据冲击波汇聚技术、拐角效应理论和有效装药理论等,设计了一种异形结构传爆药。利用主装药轴向钢凹法对多点同步起爆网络起爆的该异形结构传爆药柱起爆威力进行了实验研究。对实验数据进行对比分析,结果表明在达到相同起爆效果的情况下,利用多点同步起爆网络起爆的该异形结构传爆药柱相对于普通圆柱形传爆药柱的用药量有较大幅度的降低。研究成果对解决钝感弹药的起爆问题具有重大的现实意义。     

LEC-M法在升船机施工安全评价中的应用

在升船机施工过程中,由于建筑物多为高坝垂直型,致使上下施工、内外施工和不同性质的施工同时进行,增加了作业条件的危险性,这给升船机施工中的安全管理带来很大困难.以升船机施工为出发点,分析升船机施工中的作业单元流程.按照事故分类的标准,将升船机施工的危险源按照高处坠落、物体打击、垮塌三类事故进行风险辨识.运用LEC-M法确定升船机施工各类危险源的安全风险等级评价,依据危险源评价所涉及到的具体条款,提出降低危险源风险的有效措施.该方法在三峡升船机筒体工程上得到具体应用,并取得良好效果.     

高含硫化氢井场公众疏散能力分析方法研究

我国含硫气田存在含硫量高、周边人口稠密、地形复杂等危险因素,如何保证含硫气田周边居民安全疏散成为一个重要的急需解决的问题.针对高含硫气田开发过程面临的公众疏散能力问题,采用毒性负荷判别法作为疏散能力评估的准则,提出一套分析流程,并给出相应的改进措施,形成一整套的复杂地形下高含硫化氢井场公众安全疏散能力分析方法;通过对本方法在现场实际中的应用,在理论和实例分析基础上,发现对高含硫气田井场进行疏散能力评估是可行且非常必要的.     

集对分析法在尾矿坝稳定性安全评价中的应用

本文运用相关性分析,将与尾矿坝稳定有关的参数和设计指标进行分类,建立了相互独立指标的尾矿坝稳定性评价指标体系,并应用集对理论建立了尾矿坝稳定性评价模型。随后通过国内尾矿库专家系统对体系各指标进行的评估,结合层次分析法,得到了各指标的权重;根据集对分析法,并将指标分成3个级别,由于归一化联系数μ的取值范围[-1,1],按照"均分原则",从而提出尾矿库运行期稳定等级的划分方法。最后,应用尾矿坝稳定性评价模型对某尾矿坝稳定性进行计算分析,实例分析表明,本文建立的尾矿坝稳定性评价指标体系和安全评价模型,可以用于评估尾矿库运行期稳定性的状况。     

水环境磷的灰化法测定中不同灰化助剂的效果比较

以磷酸二氢钠和偏磷酸钠为磷标样,对加入不同盐试剂(灰化助剂)经不同温度(150℃～550℃)灼烧后磷的回收率进行了比较.所研究的灰化助剂除文献中报道过的MgSO₄和Mg(NO₃)₂外,还对MgCl₂等10余种盐试剂进行了实验.结果发现,磷酸二氢钠和偏磷酸钠加入MgSO₄在常规的灼烧温度下灼烧,用0.2mol/L HCl于80℃浸提0.5h不能使磷全部回收,而MgCl₂、MgA     

镉对单环刺螠非特异性免疫及组织蓄积的影响

为探究镉(Cd)对海洋动物的毒性效应,考察了不同质量浓度(0.005、0.05和0.5 mg·L~(-1)) Cd处理对单环刺螠相关免疫生理指标及主要组织中Cd蓄积量的影响。结果表明:Cd胁迫下,血细胞密度(density of hemocyte, DHC)先升后降再升,酚氧化酶(phenoloxidase, PO)活力先升后降,溶菌酶(lysozyme, LSZ)活力先降后升再降,至处理96 h,处理组DHC均显著高于对照组(P0.05),总蛋白含量变化不显著;除低浓度胁迫组(0.005 mg·L~(-1))PO活力与对照组相近外,其他处理组的PO和LSZ活力均显著低于对照组(P0.05)。超氧化物歧化酶(superoxide dismutase, SOD)活力和丙二醛(malondialdehyde, MDA)含量总体呈上升趋势,过氧化氢(H_2O_2)含量先升后降再升,至胁迫96 h,各处理组SOD活力、MDA和H_2O_2含量均显著高于对照组(P0.05)。总之,Cd胁迫对单环刺螠非特异性免疫影响显著,Cd的短期胁迫可刺激DHC、PO和LSZ升高,免疫力增强,而高浓度Cd的胁迫时间较长会造成机体解毒能力下降,持续刺激机体产生过氧化反应,MDA含量升高,可作为单环刺螠在Cd长期胁迫下的免疫检测指标。不同胁迫浓度组单环刺螠肌肉和消化道中的Cd含量随胁迫时间均呈上升趋势,且存在显著的时间-剂量-效应关系(P0.05),其蓄积量水平为:消化道肌肉,具有组织特异性。     

Conceptual framework for evaluation of ecotourism carrying capacity for sustainable development of Karkheh protected area,Iran

The maintenance of natural and virgin ecosystems against an unnecessary influx of humans requires a modern and efficient model such as the carrying capacity model to optimize the management and development of ecotourism in these areas. The model is one of the key tools for conservation and sustainability of these areas. The present research attempts to formulate a framework for the ecotourism carrying capacity model for sustainable development of Karkheh protected area in Iran. The information was collected using a citation method as well as, interviews with experts, and visitors, and director of the region with 24 key indicators being regulated by field surveys and library studies. In this study, the network analysis process model, the Pressure-State-Response conceptual model, and Arc GIS_10.5 software were used to determine the potential for the establishment of ecotourism performance in the scale of 1: 50,000. In this research, 70 questionnaires were completed by experts in the field of environment and ecotourism to determine the relative importance of effective pressures. According to the results, the highest values belonged to physical carrying capacity (13,425,681 persons per day), ecological carrying capacity (2,482,226 persons per day), and social and culture (985,706 people per day), respectively. Based on the regional carrying capacity, the physical, ecological, and social carrying capacity index was calculated as 3356, 621, and 246 (greater than one), respectively. According to the results, the region has a high carrying capacity, which can accept visitors.     

A framework for allocating conservation resources among multiple threats and actions

Land managers decide how to allocate resources among multiple threats that can be addressed through multiple possible actions. Additionally, these actions vary in feasibility, effectiveness, and cost. We sought to provide a way to optimize resource allocation to address multiple threats when multiple management options are available, including mutually exclusive options. Formulating the decision as a combinatorial optimization problem, our framework takes as inputs the expected impact and cost of each threat for each action (including do nothing) and for each overall budget identifies the optimal action to take for each threat. We compared the optimal solution to an easy to calculate greedy algorithm approximation and a variety of plausible ranking schemes. We applied the framework to management of multiple introduced plant species in Australian alpine areas. We developed a model of invasion to predict the expected impact in 50 years for each species-action combination that accounted for each species’ current invasion state (absent, localized, widespread); arrival probability; spread rate; impact, if present, of each species; and management effectiveness of each species-action combination. We found that the recommended action for a threat changed with budget; there was no single optimal management action for each species; and considering more than one candidate action can substantially increase the management plan's overall efficiency. The approximate solution (solution ranked by marginal cost-effectiveness) performed well when the budget matched the cost of the prioritized actions, indicating that this approach would be effective if the budget was set as part of the prioritization process. The ranking schemes varied in performance, and achieving a close to optimal solution was not guaranteed. Global sensitivity analysis revealed a threat's expected impact and, to a lesser extent, management effectiveness were the most influential parameters, emphasizing the need to focus research and monitoring efforts on their quantification.     

Microtargeting for conservation

Widespread human action and behavior change is needed to achieve many conservation goals. Doing so at the requisite scale and pace will require the efficient delivery of outreach campaigns. Conservation gains will be greatest when efforts are directed toward places of high conservation value (or need) and tailored to critical actors. Recent strategic conservation planning has relied primarily on spatial assessments of biophysical attributes, largely ignoring the human dimensions. Elsewhere, marketers, political campaigns, and others use microtargeting—predictive analytics of big data—to identify people most likely to respond positively to particular messages or interventions. Conservationists have not yet widely capitalized on these techniques. To investigate the effectiveness of microtargeting to improve conservation, we developed a propensity model to predict restoration behavior among 203,645 private landowners in a 5,200,000 ha study area in the Chesapeake Bay Watershed (U.S.A.). To isolate the additional value microtargeting may offer beyond geospatial prioritization, we analyzed a new high-resolution land-cover data set and cadastral data to identify private owners of riparian areas needing restoration. Subsequently, we developed and evaluated a restoration propensity model based on a database of landowners who had conducted restoration in the past and those who had not (n = 4978). Model validation in a parallel database (n = 4989) showed owners with the highest scorers for propensity to conduct restoration (i.e., top decile) were over twice as likely as average landowners to have conducted restoration (135%). These results demonstrate that microtargeting techniques can dramatically increase the efficiency and efficacy of conservation programs, above and beyond the advances offered by biophysical prioritizations alone, as well as facilitate more robust research of many social–ecological systems.